One of the primary tasks of thermal design is the compilation of an adequate thermal physical and mathematical model to ensure its regular thermal regime. In this paper, we consider a sequential method for determining the complex of thermophysical characteristics as functions of temperature during its ground-based thermal processing in natural conditions. The test object is subjected to high-intensity unidirectional thermal heating, which is typical during the descent and exit of spacecraft from the atmosphere of various planets. This problem is solved as a problem of finding a global minimum from minimizing the root-mean-square error between the theoretical and experimental temperature field. The algorithm of conjugate directions is chosen as the minimization method, as the most accurate method of the first order of convergence. When designing the thermal regime of structures, it is necessary to have an idea of the initial boundary conditions of the product, as well as its thermophysical characteristics. Thus, the determination of the thermal conductivity coefficient of the material is the target task in ensuring the normal thermal regime of the product.

The purpose of the work being carried out is to develop a system of shock absorption and damping of a strapless inertial measuring device for space purposes that is vibration-resistant at all flight levels, including non-standard ones. In this paper, the further development of the concept of a linear system of depreciation and damping is considered. The nonlinear mathematical model of the dynamic system was developed in the Simulink environment, the parameters of the damping system were set and the simulation was run through a script in Matlab. A cycle of launches was carried out with iterative setting of the parameters of the damping system using only one type of dissipative forces. As a result, it was found that the option with only one type of vibration damping is ineffective. A mathematical model was launched that takes into account all types of dissipative forces at once. The key result of the work at this stage is a mathematical description of the ongoing mechanical processes and the formation of a group of solutions that provide the specified requirements for vibration resistance and dimensions of the shock absorption and damping system in the device. In future works, it is planned to refine the mathematical model in terms of the kinematics of the device being developed and conduct modeling to form the final concept of the depreciation and damping system.

With the development of computer technology, it became possible to simulate and develop training systems for various complex and dangerous control objects that widely use computer graphics. Initially, computer graphics were used mainly for projects in the gaming entertainment industry, such as movies and games applications, and, in parallel, the first computer models of control objects appeared. The development of computer graphics technologies makes it possible to create three-dimensional models for technical systems of nuclear power. Modeling in three-dimensional space makes it possible to create fundamentally new computer simulators for training NPP operating personnel. This article is devoted to the development of software for the rapid installation of the layout of fuel assemblies. Information about the architecture of the training system, its composition and description, as well as the visual part are given. Mnemonic control schemes for the assembly line of fuel rod installations have been developed. The developed simulator provides visual information in the FA assembly area. Installations were visualized such as a table for supplying components, a roller table for supplying VTUK, an installation for dismantling a magazine with fuel rods, an installation for positioning fuel rods along a coordinate, an installation for assembling a fuel bundle, an autooperator, and a temporary storage shelter. The resulting visualization model in this article can be used in the future to create teaching and training systems at nuclear facilities.

This article discusses the features of solving the problem of an autonomous initial exhibition of a platform inertial navigation system under the influence of noise from inertial sensors (gyroscopes and accelerometers). The well-known classical algorithm of the initial exhibition, including the stages of rough exhibition, leveling and gyrocompassing, has extensive application and is described in sufficient detail in the technical literature. Its key disadvantage is the significant time spent on carrying out all these stages. In this regard, in order to increase the speed of the initial exhibition at a given level of accuracy, it is proposed to use a new algorithm combining the above-mentioned stages and based on the use of multifactor optimization methods. Based on the readings of at least three gyroscopes and at least three accelerometers, the spatial position of the gyro platform is optimized by physically bringing it to the required initial position. The algorithm is based on the method of gradient descent with variable pitch. Simulation modeling of a two-stage algorithm and an optimization algorithm in undisturbed mode and under the influence of typical noise for inertial sensors as the main source of errors during the initial exhibition is carried out. Typical noises, their displays in the frequency and time domains, and their distinctive features are presented. A significant gain in the speed of the optimization algorithm opens up broad prospects for its application, since the arsenal of appropriate methods is multifaceted, but the strong dependence of the accuracy of the exhibition on typical noise requires the development of additional mechanisms for their suppression.

In recent years, decision trees and neural network have been widely used in computer vision problems such as object recognition, text classification, gesture recognition, spam detection, semantic segmentation and data clustering. The article discusses the decision tree and neural networks methods application in the problem of classifying credit institutions as economic security objects. The analysis results of data on credit institutions activities of using different methods of decision trees: C5, CHAID, C&R and QUEST, as well as neural networks are presented. The highest overall classification accuracy of the analyzed objects was achieved using the C5 decision tree algorithm and amounted to 81 %. The overall classification accuracy using the CHAID algorithm was 68 %, the C&R algorithm was 71 %, and the QUEST algorithm was 66 %. Based on the C5 algorithm results, a set of rules was generated to determine whether a bank belongs to a certain class. According to the methods of decision trees and neural networks, the most informative performance indicators of credit institutions were selected in terms of their division into two classes: trustworthy and high-risk.

The results of studies of a temperature sensor based on a delay line and a resonator based on surface acoustic waves are presented. A method for calculating such a sensor is developed under the condition that the reflective interdigital delay line converter contains split electrodes and a resonator is connected to it. The sensor was calculated for a frequency of 433 MHz. It is shown that the effect of external capacitances on the resonant frequency when connected to a receiving-transmitting interdigital transducer is significantly less than when they are connected directly to the resonator. In this case, the SAW resonator has only an acoustic connection with the antenna, and the influence of the antenna and surrounding objects on the resonant frequency will be absent. It is noted that the use of delay lines on surface acoustic waves weakens the effect of external capacitances on the resonant peak of parameter S11 compared to their effect on the resonant peak of the SAW resonator, which increases the accuracy of temperature measurement. The temperature sensor proposed in this paper is recommended to be used to automate the processes of monitoring the temperature conditions of the operating high-voltage electrical equipment of transformer and distribution substations.